SQL app built with Amazon Q Developer? Let’s review it.
Expert code review for SQL apps built with Amazon Q Developer. We find Amazon Q Developer-specific bugs, fix SQL security issues, and optimize performance. From $19.
Amazon Q Developer issues we find in SQL projects
Problems specific to Amazon Q Developer's code generation patterns when building SQL apps.
Overly permissive IAM policies generated with wildcard actions and resources
Amazon Q often generates IAM policies with `*` wildcards for actions or resources as a starting point, which violates the principle of least privilege. These policies should be scoped to specific actions and resource ARNs before being applied in production.
Lambda cold start latency not addressed in generated function configurations
Generated Lambda functions use default memory and timeout settings without considering cold start impact. Functions with heavy initialization code (loading models, establishing DB connections) need provisioned concurrency or memory tuning, which Amazon Q does not configure.
Generated CDK code creates AWS resources without cost estimation or tagging
Amazon Q CDK suggestions deploy resources without cost-tracking tags or budget guardrails, making it easy to inadvertently provision expensive resources (NAT gateways, multi-AZ RDS instances) without visibility into the cost impact.
DynamoDB access patterns generated without consideration for partition key hot spots
Generated DynamoDB table designs and query patterns sometimes use partition keys that distribute poorly under load — such as a status field with few values — creating hot partitions that throttle at scale.
SQL issues we check for
Common SQL problems that affect production readiness.
SQL injection from string concatenation
Building queries by concatenating user input directly into SQL strings instead of using parameterized queries, enabling full database compromise.
Missing indexes on queried columns
Queries filter and join on columns without indexes, causing full table scans that slow exponentially as data grows.
SELECT * in production queries
Fetching all columns when only a few are needed, wasting bandwidth, memory, and preventing covering index optimizations.
N+1 query patterns
Executing one query per row in a loop instead of a single JOIN or batch query, multiplying database round trips by the number of records.
Start with a self-serve audit
Get a professional review of your Amazon Q Developer SQL project at a fixed price.
External Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 vulnerability check
- SSL/TLS configuration analysis
- Security header assessment
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerability analysis
- Code quality review
- Dependency audit
- Architecture review
- Expert + AI code analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
Frequently asked questions
Can you review SQL code generated by Amazon Q Developer?
Yes. We regularly audit SQL projects built with Amazon Q Developer and understand the specific patterns and issues it introduces. Our review covers security, performance, and deployment readiness.
What SQL issues does Amazon Q Developer typically create?
Common issues in Amazon Q Developer-generated SQL code include: overly permissive iam policies generated with wildcard actions and resources, lambda cold start latency not addressed in generated function configurations, generated cdk code creates aws resources without cost estimation or tagging. Combined with SQL-specific concerns like sql injection from string concatenation and missing indexes on queried columns.
How do I make my Amazon Q Developer SQL project production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For Amazon Q Developer-built SQL projects, the typical path is: fix security gaps, address SQL-specific performance issues, then configure deployment. We provide a fixed quote after the audit.
How much does it cost to review Amazon Q Developer-generated SQL code?
Our code audit starts at $19 and covers security, performance, architecture, and deployment readiness. For fixes, our Fix & Ship plan is $199. Larger projects get a custom fixed quote — no hourly billing or surprises.
Related resources
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